Continuous multimodal sensing now allows human physiology to be observed throughout daily life rather than only during occasional clinical visits. However, most health artificial intelligence systems are designed to recognize current states, estimate risks or analyse individual biomarkers. They do not directly model ho...
Chong-Yang Zhang, Rendong Wang, Hao Zheng et al.· 0 citations
Physical changes or sensing errors can invalidate embodied agents'task-relevant beliefs. AquaMend compares re-probing, rollback, and supported continuation on a probe-belief-action graph under an expected-loss objective covering sensing, physical recovery, and uncorrected failures. A joint posterior guides a one-step p...
Yu-Fan Liu, Shang Luo, Yang Liu et al.· 0 citations
Predicting knee joint trajectory is critical for controlling intelligent walking-assistive devices, with surface electromyography (sEMG) emerging as a promising modality for motion intention decoding. However, accurate and continuous prediction remains challenging because both intersubject and intrasubject variability...
Xueming Fu, Yu-Zhou Lin, Hao Zheng et al.· IEEE Transactions on Cyberne...· 0 citations
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